class_docstr: Test harness for running HMC benchmark tests in graph/eager modes.
class_docstr_tok: ["Test","harness","for","running","HMC","benchmark","tests","in","graph\/eager","modes","."]
code: def benchmark_eight_schools_hmc_num_leapfrog_10(self):
      self.report_benchmark(
          name=self._mode + "_eight_schools_hmc_num_leapfrog_10",
          **benchmark_eight_schools_hmc(num_leapfrog_steps=10),
      )
  
file_path: probability/tensorflow_probability/python/mcmc/eight_schools_hmc.py
imports: import time
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import sample
label_desc: Use image node_id 5 for calling the EightSchoolsHmcBenchmarkTestHarness obj's underlying member method code with example usage: obj.benchmark_eight_schools_hmc_num_leapfrog_10() without return types